
AI/ML Solutions Architect
3 days ago
We are seeking a highly skilled AI/ML Engineer to join our team. The ideal candidate will design, build, and optimize AI-driven solutions for the healthcare and life sciences domain.
">About the Role:
- Design and implement agentic AI workflows for clinical source verification, discrepancy detection, and intelligent query generation.
- Build and integrate LLM-powered agents using AWS Bedrock and open-source frameworks (LangChain, AutoGen, LlamaIndex).
- Develop event-driven data pipelines leveraging AWS Lambda, Step Functions, and EventBridge.
- Apply prompt engineering, retrieval-augmented generation (RAG), and multi-agent communication techniques to enhance workflow performance.
- Integrate AI agents securely with external systems via APIs.
- Collaborate with data engineers to design PHI/PII-safe ingestion pipelines, ensuring regulatory compliance.
- Monitor, test, and fine-tune AI workflows for accuracy, latency, scalability, and compliance.
- Work cross-functionally with product and domain experts to deliver regulatory-compliant healthcare/Life Sciences AI solutions.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).
- ~3–6 years of experience in AI/ML engineering with proven hands-on expertise in LLM/agentic AI development.
- ~ Strong programming skills in Python and/or TypeScript.
- ~ Practical experience with frameworks such as LangChain, LlamaIndex, and AutoGen.
- ~ Familiarity with AWS AI/ML services: Bedrock, SageMaker, Textract, Comprehend Medical.
- ~ Experience in healthcare/life sciences AI solutions with an understanding of regulatory and compliance standards (HIPAA, GDPR, etc.).
Perks and Benefits:
- Group Health Insurance covering a family of 4.
- Paid Holidays & Earned Leaves.
- Paid Parental Leave.
- Learning & Career Development.
- Employee Wellness.
Our company is committed to being an equal opportunity employer and promoting diversity in the workplace. We strive to create a work environment that is inclusive and respectful of all employees and applicants.
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